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On the Design of a Reconfigurable OTA-C Filter for Software Radio

S. Hintea, G. Csipkes, C. Rus, D. Csipkes, H. Fernandez-Canque
2007 Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007)  
Advanced design techniques of analog and digital integrated circuits The design of complex electronic circuit structures under the Mentor Graphics design environment: reconfigurable circuits with applications  ...  based on fuzzy logic and genetic algorithms.  ...  in the following domains: computer aided design of analog and digital circuits; non-conventional design techniques: genetic algorithms, fuzzy systems, neural networks; optical sensors and optoelectronic  ... 
doi:10.1109/ahs.2007.82 dblp:conf/ahs/HinteaCRCF07 fatcat:up6mj7zp35b2dogcmmnmvwnt7e

On the design of a reconfigurable OTA-C filter for software radio

S. Hintea, G. Csipkes, C. Rus, D. Csipkes, H. Fernandez-Canque, M.Gh. Negoita, T. Arslan
2008 Journal of Knowledge-based & Intelligent Engineering Systems  
Advanced design techniques of analog and digital integrated circuits The design of complex electronic circuit structures under the Mentor Graphics design environment: reconfigurable circuits with applications  ...  based on fuzzy logic and genetic algorithms.  ...  in the following domains: computer aided design of analog and digital circuits; non-conventional design techniques: genetic algorithms, fuzzy systems, neural networks; optical sensors and optoelectronic  ... 
doi:10.3233/kes-2008-12307 fatcat:c5tzwt7qkjeuxkv4qlhiqxlnp4

Analog Circuit Design Using Genetic Algorithm: Modified

Amod P. Vaze
2008 Zenodo  
Genetic Algorithm has been used to solve wide range of optimization problems. Some researches conduct on applying Genetic Algorithm to analog circuit design automation.  ...  These researches show a better performance due to the nature of Genetic Algorithm. In this paper a modified Genetic Algorithm is applied for analog circuit design automation.  ...  GENETIC ALGORITHM APPLICATION IN ANALOG CIRCUIT DESIGN Amod P.  ... 
doi:10.5281/zenodo.1083651 fatcat:kdogkudvpfgr7ez2rm6v5m2ihu

Towards Analog Design Automation using Evolutionary Algorithm: A Review

A. Sasikumar, R. Muthaiah
2016 Indian Journal of Science and Technology  
Analog circuits are the most important parts in many Integrated Circuit (IC) design. This paper reviews the basic concepts in analog design automation using evolutionary algorithm.  ...  It is necessary to integrate both analog and digital in a single chip for real world communication. Due to system level integration we need analog design automation tool for IC design.  ...  Analog design automation consists of a large volume of research, so we have restricted ourselves to evolutionary algorithm applied to analog integrated circuits.  ... 
doi:10.17485/ijst/2016/v9i39/97980 fatcat:ih4ybelukvb4ri6sgnfnbf3rga

RF CMOS circuit optimizing procedure and synthesis tool

Chandrasekar Rajagopal, Karthik Sridhar, Adrian Nunez
2003 Proceedings of the 13th ACM Great Lakes Symposium on VLSI - GLSVLSI '03  
In this paper, we discuss a methodology to design and synthesize analog CMOS components such as RF amplifiers.  ...  The synthesis environment considers user-defined performance parameters into account, and it relies on a genetic algorithm based heuristic method to search for a solution in a large design-space.  ...  GENETIC ALGORITHM: In order to use a genetic algorithm [19] [20] to solve an optimization problem, it must be possible to represent a single solution to the problem in a single data structure.  ... 
doi:10.1145/764825.764835 fatcat:d2x4joixrbg37jllta6catnnoa

RF CMOS circuit optimizing procedure and synthesis tool

Chandrasekar Rajagopal, Karthik Sridhar, Adrian Nunez
2003 Proceedings of the 13th ACM Great Lakes Symposium on VLSI - GLSVLSI '03  
In this paper, we discuss a methodology to design and synthesize analog CMOS components such as RF amplifiers.  ...  The synthesis environment considers user-defined performance parameters into account, and it relies on a genetic algorithm based heuristic method to search for a solution in a large design-space.  ...  GENETIC ALGORITHM: In order to use a genetic algorithm [19] [20] to solve an optimization problem, it must be possible to represent a single solution to the problem in a single data structure.  ... 
doi:10.1145/764808.764835 dblp:conf/glvlsi/RajagopalSN03 fatcat:ffincqjafzb33cvedho76uoveu

An Optimized Device Sizing of Analog Circuits using Particle Swarm Optimization

Arturo
2012 Journal of Computer Science  
Problem statement: Day by day more and more products rely on analog circuits to improve the speed and reduce the power consumption(Products rely on analog circuits to improve the speed and reduce the power  ...  For the VLSI implementation analog circuit design plays an important role.  ...  Torres et al. (2009) presented a comparison of two different algorithms, a Univariate Marginal Distribution Algorithm for Analog Circuits (UMDA-AC) and a Genetic Algorithm for Analog Circuits (GA-AC).  ... 
doi:10.3844/jcssp.2012.930.935 fatcat:egjpc5fbyjcijgoowyntmuavf4

Analog CMOS Design Automation Methodologies for Low-Power Applications [chapter]

Alessandro Girardi, Lucas C.
2011 Advances in Analog Circuits  
The analog circuit modeling for using with genetic algorithms is straightforward. Fig. 4 shows the proposed optimization design flow.  ...  The design space for the automatic synthesis of analog CMOS integrated circuits is highly nonlinear.  ...  Advances in Analog Circuits This book highlights key design issues and challenges to guarantee the development of successful applications of analog circuits.  ... 
doi:10.5772/14316 fatcat:uyr4m7a7u5gjpiyv7a5hwfdgte

Experiments on evolving software models of analog circuits

Jason D. Lohn
1999 Communications of the ACM  
It was recently estimated that approximately 60% of digital application-specific integrated circuit designs incorporated analog circuits.  ...  These include the use of genetic algorithms to select electronic component values (for example, the resistance value of a resistor), to select circuit topologies, and to design amplifiers using a limited  ...  It was recently estimated that approximately 60% of digital application-specific integrated circuit designs incorporated analog circuits.  ... 
doi:10.1145/299157.299875 fatcat:tz3jygm6rnhlpdukbggpzpbq3y

Analog Circuit Design Optimization Based on Evolutionary Algorithms

Mansour Barari, Hamid Reza Karimi, Farhad Razaghian
2014 Mathematical Problems in Engineering  
This paper investigates an evolutionary-based designing system for automated sizing of analog integrated circuits (ICs).  ...  Two evolutionary algorithms, genetic algorithm and PSO (Parswal particle swarm optimization) algorithm, are proposed to design analog ICs with practical user-defined specifications.  ...  Acknowledgments The research leading to these results has received funding from the Polish-Norwegian Research Programme  ... 
doi:10.1155/2014/593684 fatcat:3eu4mjtc6jblxiutzofkphpc5y

Evolvable Metaheuristics on Circuit Design [chapter]

Felipe Padilla, Aurora Torres, Julio Ponce, Mara Dolores, Sylvie Ratt, Eunice Ponce-de-Le
2011 Advances in Analog Circuits  
Analog design has been traditionally a difficult discipline of integrated circuits (IC) design.  ...  Figure 6 shows the general flow used to implement a genetic algorithm in the analog circuit design according to Azizi (Azizi, 2001).  ...  Advances in Analog Circuits This book highlights key design issues and challenges to guarantee the development of successful applications of analog circuits.  ... 
doi:10.5772/14688 fatcat:zghz4launfdvbijbdt7wukf5pm

Self-tuning PID Controller using Genetic Algorithm

Abdul-Kareem Z. Mansoor, Thair A. Salih, Mohamed Y. Hazim
2011 Iraqi journal of statistical sciences  
Configurable Analog Circuits Field Programmable Analog Array An FPAA is an IC that can be programmed and reprogrammed to perform an open-ended set of analog circuit functions (http://servenger.com) FPAA  ...  Genetic Algorithm Overview of Genetic Algorithm GA is a stochastic global adaptive search optimization technique based on the mechanisms of natural selection.  ... 
doi:10.33899/iqjoss.2011.27964 fatcat:6gswn6oyzjcivpctwlx4ymtuoy

Design of Analog Integrated Circuits using Simulated Annealing/Quenching with Crossovers and Particle Swarm Optimization [chapter]

Tiago Oliveira, Wilhelmus A. M. Van Noije
2012 Simulated Annealing - Advances, Applications and Hybridizations  
SA with genetic algorithm Several algorithms that integrate Simulated Annealing with Genetic Algorithms have been proposed in the optimization field and in the analog synthesis field.  ...  Design of Analog Integrated Circuits Using Simulated Annealing/Quenching with Crossovers and Particle Swarm Optimization Simulated Annealing -Advances, Applications and Hybridizations Design of Analog  ... 
doi:10.5772/50384 fatcat:3ikxcshtpreitjeh7mr3iwwhum

Multiobjective Genetic Algorithms Program for the Optimization of an OTA for Front-End Electronics

Abdelghani Dendouga, Slimane Oussalah, Damien Thienpont, Abdenour Lounis
2014 Advances in Electrical Engineering  
metal oxide semiconductor-) based circuit applications.  ...  The aim of the present work is the elaboration of a method based on multiobjectives genetic algorithms (MOGAs) to allow automated synthesis of analog and mixed systems.  ...  In this paper, a program based on multiobjective genetic algorithm has been developed for analog integrated circuits design.  ... 
doi:10.1155/2014/374741 fatcat:h2zvqys4p5g45lbg4eqizxjqxi

The Age of Analog Networks

Claudio Mattiussi, Daniel Marbach, Peter Dürr, Dario Floreano
2008 The AI Magazine  
This is illustrated by some examples of application to the design of electronic circuits, control systems, learning neural architectures, and the reverse engineering of biological networks.  ...  Some examples of analog networks are genetic regulatory networks, metabolic networks, neural networks, analog electronic circuits, and control systems.  ...  Acknowledgments Many thanks to Simon Harding for reading and commenting on the manuscript. This work was supported by the Swiss National Science Foundation, grant no. 200021-112060.  ... 
doi:10.1609/aimag.v29i3.2156 fatcat:nf3oitjnh5f55o56pobithegqq
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